Google-Analytics-Data-Api authentication

This page documents the authentication and configuration options for the Google-Analytics-Data-Api agent connector.

Authentication

Open source execution

In open source mode, you provide API credentials directly to the connector.

OAuth

credentials fields you need:

Field Name	Type	Required	Description
client_id	str	Yes	OAuth 2.0 Client ID from Google Cloud Console
client_secret	str	Yes	OAuth 2.0 Client Secret from Google Cloud Console
refresh_token	str	Yes	OAuth 2.0 Refresh Token for obtaining new access tokens

Example request:

from airbyte_agent_google_analytics_data_api import GoogleAnalyticsDataApiConnector
from airbyte_agent_google_analytics_data_api.models import GoogleAnalyticsDataApiAuthConfig

connector = GoogleAnalyticsDataApiConnector(
    auth_config=GoogleAnalyticsDataApiAuthConfig(
        client_id="<OAuth 2.0 Client ID from Google Cloud Console>",
        client_secret="<OAuth 2.0 Client Secret from Google Cloud Console>",
        refresh_token="<OAuth 2.0 Refresh Token for obtaining new access tokens>"
    )
)

Token

This authentication method isn't available for this connector.

Hosted execution

In hosted mode, you first create a connector via the Airbyte API (providing your OAuth or Token credentials), then execute operations using either the Python SDK or API. If you need a step-by-step guide, see the hosted execution tutorial.

OAuth

Create a connector with OAuth credentials.

credentials fields you need:

Field Name	Type	Required	Description
client_id	str	Yes	OAuth 2.0 Client ID from Google Cloud Console
client_secret	str	Yes	OAuth 2.0 Client Secret from Google Cloud Console
refresh_token	str	Yes	OAuth 2.0 Refresh Token for obtaining new access tokens

replication_config fields you need:

Field Name	Type	Required	Description
property_ids	str	Yes	A list of GA4 Property IDs to replicate data from.

Example request:

curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors" \
  -H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "customer_name": "<CUSTOMER_NAME>",
    "connector_type": "Google-Analytics-Data-Api",
    "name": "My Google-Analytics-Data-Api Connector",
    "credentials": {
      "client_id": "<OAuth 2.0 Client ID from Google Cloud Console>",
      "client_secret": "<OAuth 2.0 Client Secret from Google Cloud Console>",
      "refresh_token": "<OAuth 2.0 Refresh Token for obtaining new access tokens>"
    },
    "replication_config": {
      "property_ids": "<A list of GA4 Property IDs to replicate data from.>"
    }
  }'

Bring your own OAuth flow

To implement your own OAuth flow, use Airbyte's server-side OAuth API endpoints. For a complete guide, see Implement your own OAuth flow.

Step 1: Initiate the OAuth flow

Request a consent URL for your user.

Field Name	Type	Required	Description
customer_name	string	Yes	Your unique identifier for the customer
connector_type	string	Yes	The connector type (e.g., "Google-Analytics-Data-Api")
redirect_url	string	Yes	URL to redirect to after OAuth authorization

Example request:

curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors/oauth/initiate" \
  -H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "customer_name": "<CUSTOMER_NAME>",
    "connector_type": "Google-Analytics-Data-Api",
    "redirect_url": "https://yourapp.com/oauth/callback"
  }'

Redirect your user to the consent_url from the response. After they authorize, they'll be redirected back to your app with a secret_id query parameter.

Step 2: Create a connector with the secret ID

Field Name	Type	Required	Description
customer_name	string	Yes	Your unique identifier for the customer
connector_type	string	Yes	The connector type (e.g., "Google-Analytics-Data-Api")
name	string	Yes	A name for this connector instance
server_side_oauth_secret_id	string	Yes	The secret_id from the OAuth callback
replication_config.property_ids	str	Yes	A list of GA4 Property IDs to replicate data from.

Example request:

curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors" \
  -H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "customer_name": "<CUSTOMER_NAME>",
    "connector_type": "Google-Analytics-Data-Api",
    "name": "My Google-Analytics-Data-Api Connector",
    "server_side_oauth_secret_id": "<secret_id_from_callback>",
    "replication_config": {
      "property_ids": "<A list of GA4 Property IDs to replicate data from.>"
    }
  }'

Token

This authentication method isn't available for this connector.

Execution

After creating the connector, execute operations using either the Python SDK or API. If your Airbyte client can access multiple organizations, include organization_id in AirbyteAuthConfig and X-Organization-Id in raw API calls.

Python SDK

from airbyte_agent_google_analytics_data_api import GoogleAnalyticsDataApiConnector, AirbyteAuthConfig

connector = GoogleAnalyticsDataApiConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@GoogleAnalyticsDataApiConnector.tool_utils
async def google_analytics_data_api_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

API

curl -X POST 'https://api.airbyte.ai/api/v1/integrations/connectors/<connector_id>/execute' \
  -H 'Authorization: Bearer <YOUR_BEARER_TOKEN>' \
  -H 'X-Organization-Id: <YOUR_ORGANIZATION_ID>' \
  -H 'Content-Type: application/json' \
  -d '{"entity": "<entity>", "action": "<action>", "params": {}}'